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Tabby

Self-hosted, GPU-accelerated coding autocompletion.

Freemium · from $19/mo 4–8 GB VRAMSelf-hosted server
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-FriendlyAPI
Visit TabbyUpdated 2026-05-09 · Direct link

Hardware requirements

Self-hosted server · Entry GPU (6–8 GB)

4–8 GB VRAM
Min VRAM
4 GB
Rec. VRAM
8 GB
Min RAM
8 GB
Rec. RAM
16 GB
Disk
15 GB
GPU class
Entry GPU
Apple Silicon ✓CPU-CapableQuant: GGUF, Q4_K_M

1.5-7B coder models comfortable on 4-8 GB.

Screenshot placeholder · Tabby

What is Tabby?

Tabby is the self-hosted answer to GitHub Copilot. Runs a local server with any code-tuned model (StarCoder, DeepSeek-Coder, Qwen-Coder); editor plugins for VS Code, JetBrains, Vim, Neovim talk to it over HTTP. Apache 2.0; enterprise team features available.

Pros & cons

Pros

  • Self-hosted Copilot — no code leaves your network
  • Pluggable models — pick your size/quality trade-off
  • Multi-editor plugins maintained by the project

Cons

  • Quality bound to model — DeepSeek-Coder-V2 is the current sweet spot
  • Heavier setup than Continue + Ollama

What's actually free?

Apache 2.0 community edition; team features paid.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives

Continue

Open-source Copilot — VS Code & JetBrains, any model.

Open SourceCPU-capable
Actually FreeNo SignupOpen SourceWatermark-Free

Ollama

One-command local LLM runtime.

Open SourceCPU-capable
Actually FreeNo SignupOpen SourceWatermark-Free